Learn how Databuddy and HitKeep differ in their key features, development activity, technology stack and community adoption, so you can decide which of these web analytics is best for you.
Last 30 days

Last 30 days
Last commit
6 hours agoRepository age
1 yearVersion
v2.14.2License
MITSelf-hosted
YesRepository
pascalebeier/hitkeep
Both Databuddy and HitKeep have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, activity, technology, maturity, licensing and features when making your decision.
Databuddy significantly outpaces HitKeep in community adoption with 1,214 stars compared to 98 stars on GitHub. This 12.4x difference suggests Databuddy has a much larger and more active community. In terms of developer contributions, Databuddy has 227 forks, indicating moderate developer engagement.
Both projects show recent activity, with Databuddy last updated 2 days ago and HitKeep 6 hours ago.
Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript. However, they differ in their additional technology choices: Databuddy uses JSX, Next.js, Rust while HitKeep leverages Golang, SCSS.
Both projects started around the same time, with Databuddy beginning 2 years ago and HitKeep 1 year ago.
HitKeep uses the MIT license, which is more permissive than Databuddy's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in Web Analytics. However, they also have distinct specializations: Databuddy also focuses on Product Analytics.
Both Databuddy and HitKeep offer self-hosting capabilities, giving you full control over your data and infrastructure.
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